Departmental Advisors
Trans./University
N. Cotter
MEB 2270
Undergraduate Studies Office/Director of Advising
A. Rasmussen
MEB 2268
Electrical Engineering Undergraduate Advisor
Brandon Riddle
MEB 2266B
Computer Engineering Undergraduate Advisor
Maddie Porter
MEB 2266A
Graduate Advisor
Liz Rowberry
MEB 2266C
Academic Advising Coordinator
John Bolke
MEB 2110D
BS/MS Advisor
A. Verkler
MEB 2102
Departmental Notes

For course descriptions and pre-requisite information click on the subject column next to the appropriate catalog number.

ALL STUDENTS TAKING ELECTRONIC ENGINEERING LABS MUST PURCHASE ELECTRONIC COMPONENTS. For course descriptions and pre-requisite information click on the subject column next to the appropriate catalog number. THIS DEPARTMENT ENFORCES UNDERGRADUATE PREREQUISITES. Please note that the registration system may not factor in transfer work when determining if prerequisites have been met. If you are unable to register for a course and think you have met the prerequisite(s), please fill out the Registration Permission Code request form found on our website at http://www.ece.utah.edu/ . You may be administratively dropped from a course if the prerequisite has not been met.

ECE 1030 - 001 Your Smartphone


Portable electronics, especially smartphones, are arguably the technologies that have had the greatest impact on the life and experience of individuals and society in the 21st century. Introduced only about 15 years ago, these devices cram some of human kind’s most advanced materials, electronics, electromagnetics, sensors, communications, signal processing, computing, and imaging technologies into packages so small as to be nearly unimaginable even 20 years ago. When combined with ubiquitous internet supplied by cellular and wi-fi data connections, they have helped to reshape how individuals spend their time and attention, how education, medicine, banking, and business are carried out, and overall, how societies function. This course uses your Smartphone as a launching point for student-led explorations into the science, technology and engineering of smart mobile devices as well as how they are affecting societies in the US and internationally in terms of issues like material resources, sustainability, equity, ethics and social justice. This course will also help develop skills and habits of applying quantification and comparison to develop perspective on and make decisions about complex societal questions. We will use 5G and 6G technologies as examples, but these skills apply to other complex issues as well. The course invites curious explorers from across campus to collaboratively answer these questions and more.

ECE 1030 - 001 Your Smartphone

  • Class Number: 16616
  • Instructor: FURSE, CYNTHIA
  • Instructor: SCARPULLA, MIKE A
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Wait List: No
  • Seats Available: 0

Portable electronics, especially smartphones, are arguably the technologies that have had the greatest impact on the life and experience of individuals and society in the 21st century. Introduced only about 15 years ago, these devices cram some of human kind’s most advanced materials, electronics, electromagnetics, sensors, communications, signal processing, computing, and imaging technologies into packages so small as to be nearly unimaginable even 20 years ago. When combined with ubiquitous internet supplied by cellular and wi-fi data connections, they have helped to reshape how individuals spend their time and attention, how education, medicine, banking, and business are carried out, and overall, how societies function. This course uses your Smartphone as a launching point for student-led explorations into the science, technology and engineering of smart mobile devices as well as how they are affecting societies in the US and internationally in terms of issues like material resources, sustainability, equity, ethics and social justice. This course will also help develop skills and habits of applying quantification and comparison to develop perspective on and make decisions about complex societal questions. We will use 5G and 6G technologies as examples, but these skills apply to other complex issues as well. The course invites curious explorers from across campus to collaboratively answer these questions and more.

ECE 1050 - 001 Matlab for ECE Design


This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and a section of ECE 1240 as they co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 001 Matlab for ECE Design

  • Class Number: 10342
  • Instructor: FURSE, CYNTHIA
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 16

This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and a section of ECE 1240 as they co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 002 Matlab for ECE Design


This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and a section of ECE 1240 as they co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 002 Matlab for ECE Design

  • Class Number: 10354
  • Instructor: FURSE, CYNTHIA
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 12

This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and a section of ECE 1240 as they co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 003 Matlab for ECE Design


This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and a section of ECE 1240 as they co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 003 Matlab for ECE Design

  • Class Number: 10355
  • Instructor: FURSE, CYNTHIA
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 18

This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and a section of ECE 1240 as they co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 004 Matlab for ECE Design


This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and a section of ECE 1240 as they co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 004 Matlab for ECE Design

  • Class Number: 10356
  • Instructor: FURSE, CYNTHIA
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 17

This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and a section of ECE 1240 as they co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 005 Matlab for ECE Design


This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and a section of ECE 1240 as they co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 005 Matlab for ECE Design

  • Class Number: 12366
  • Instructor: FURSE, CYNTHIA
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 14

This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and a section of ECE 1240 as they co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 006 Matlab for ECE Design


This class meets August 12-16 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 1050 - 006 Matlab for ECE Design

  • Class Number: 14896
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 8

This class meets August 12-16 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 1240 - 001 Circuits&Systems: Intro


This course will also be Zoom-enabled, for students who need to occasionally join the class by Zoom.

ECE 1240 - 001 Circuits&Systems: Intro

  • Class Number: 7992
  • Instructor: FURSE, CYNTHIA
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 34

This course will also be Zoom-enabled, for students who need to occasionally join the class by Zoom.

ECE 1240 - 002 Circuits&Systems: Intro

ECE 1240 - 002 Circuits&Systems: Intro

  • Class Number: 19391
  • Instructor: FURSE, CYNTHIA
  • Component: Lecture
  • Type: Remote Real-Time
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 6

ECE 1240 - 003 Circuits&Systems: Intro

ECE 1240 - 003 Circuits&Systems: Intro

  • Class Number: 19784
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 42

ECE 1245 - 001 Circuits&Sys Lab: Intro


This is a laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and a section of ECE 1240 as they are co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 001 Circuits&Sys Lab: Intro

  • Class Number: 10343
  • Instructor: FURSE, CYNTHIA
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 16

This is a laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and a section of ECE 1240 as they are co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 002 Circuits&Sys Lab: Intro


This is a laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and a section of ECE 1240 as they are co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 002 Circuits&Sys Lab: Intro

  • Class Number: 10357
  • Instructor: FURSE, CYNTHIA
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 14

This is a laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and a section of ECE 1240 as they are co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 003 Circuits&Sys Lab: Intro


This is a laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and a section of ECE 1240 as they are co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 003 Circuits&Sys Lab: Intro

  • Class Number: 10358
  • Instructor: FURSE, CYNTHIA
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 17

This is a laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and a section of ECE 1240 as they are co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 004 Circuits&Sys Lab: Intro


This is a laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and a section of ECE 1240 as they are co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 004 Circuits&Sys Lab: Intro

  • Class Number: 10359
  • Instructor: FURSE, CYNTHIA
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 19

This is a laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and a section of ECE 1240 as they are co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 005 Circuits&Sys Lab: Intro


This is a laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and a section of ECE 1240 as they are co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 005 Circuits&Sys Lab: Intro

  • Class Number: 12367
  • Instructor: FURSE, CYNTHIA
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 8

This is a laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and a section of ECE 1240 as they are co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 006 Circuits&Sys Lab: Intro


This class meets August 12-16 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 1245 - 006 Circuits&Sys Lab: Intro

  • Class Number: 14897
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 10

This class meets August 12-16 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 1900 - 001 Intro to ECE

ECE 1900 - 001 Intro to ECE

  • Class Number: 12242
  • Instructor: VERKLER, AMY
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Wait List: No
  • Fees: $75.00
  • Seats Available: 24

ECE 1900 - 002 Intro to ECE

ECE 1900 - 002 Intro to ECE

  • Class Number: 16004
  • Instructor: VERKLER, AMY
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Wait List: No
  • Fees: $75.00
  • Seats Available: 21

ECE 1900 - 003 Intro to ECE

ECE 1900 - 003 Intro to ECE

  • Class Number: 16003
  • Instructor: VERKLER, AMY
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Wait List: No
  • Fees: $75.00
  • Seats Available: 24

ECE 1900 - 004 Intro to ECE

ECE 1900 - 004 Intro to ECE

  • Class Number: 17128
  • Instructor: VERKLER, AMY
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Wait List: No
  • Fees: $75.00
  • Seats Available: 18

ECE 1900 - 005 Intro to ECE

ECE 1900 - 005 Intro to ECE

  • Class Number: 19364
  • Instructor: VERKLER, AMY
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Wait List: No
  • Fees: $75.00
  • Seats Available: 19

ECE 2200 - 001 ECE Non-Majors


Sections 003, 005, 006 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. This class meets with ECE 2200-001 for the first half of the semester. Please fill out the Registration Permission Code request form found on the ECE Dept. website at http://www.ece.utah.edu/ if you cannot add the class because it is full. This is a split attendance class, where students will be assigned to attend one or more of the times listed in the schedule. Students will receive additional content through technology.

ECE 2200 - 001 ECE Non-Majors

  • Class Number:
  • Instructor: SIMPSON, JAMESINA J
  • Component: Lecture
  • Type: In Person
  • Units: 1.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 7

Sections 003, 005, 006 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. This class meets with ECE 2200-001 for the first half of the semester. Please fill out the Registration Permission Code request form found on the ECE Dept. website at http://www.ece.utah.edu/ if you cannot add the class because it is full. This is a split attendance class, where students will be assigned to attend one or more of the times listed in the schedule. Students will receive additional content through technology.

ECE 2200 - 002 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2200 - 002 ECE Non-Majors

  • Class Number: 10587
  • Instructor: BODSON, MARC
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 4

Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2200 - 003 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2200 - 003 ECE Non-Majors

  • Class Number: 9390
  • Instructor: SIMPSON, JAMESINA J
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 2

Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2200 - 004 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2200 - 004 ECE Non-Majors

  • Class Number: 10914
  • Instructor: BODSON, MARC
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 0

Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2200 - 005 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2200 - 005 ECE Non-Majors

  • Class Number: 11594
  • Instructor: SIMPSON, JAMESINA J
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 4

Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2200 - 006 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2200 - 006 ECE Non-Majors

  • Class Number: 13426
  • Instructor: SIMPSON, JAMESINA J
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 1

Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2200 - 009 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2200 - 009 ECE Non-Majors

  • Class Number: 19851
  • Instructor: BODSON, MARC
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 3

Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2200 - 011 ECE Non-Majors


Sections 002, 004, 009 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. This class meets with ECE 2200-001 for the first half of the semester. Please fill out the Registration Permission Code request form found on the ECE Dept. website at http://www.ece.utah.edu/ if you cannot add the class because it is full. This is a split attendance class, where students will be assigned to attend one or more of the times listed in the schedule. Students will receive additional content through technology.

ECE 2200 - 011 ECE Non-Majors

  • Class Number:
  • Instructor: BODSON, MARC
  • Component: Lecture
  • Type: In Person
  • Units: 1.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 7

Sections 002, 004, 009 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. This class meets with ECE 2200-001 for the first half of the semester. Please fill out the Registration Permission Code request form found on the ECE Dept. website at http://www.ece.utah.edu/ if you cannot add the class because it is full. This is a split attendance class, where students will be assigned to attend one or more of the times listed in the schedule. Students will receive additional content through technology.

ECE 2210 - 001 ECE Non-Majors


Sections 003, 005, 006, 007 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. This class meets with ECE 2200-001 for the first half of the semester. Please fill out the Registration Permission Code request form found on the ECE Dept. website at http://www.ece.utah.edu/ if you cannot add the class because it is full. This is a split attendance class, where students will be assigned to attend one or more of the times listed in the schedule. Students will receive additional content through technology.

ECE 2210 - 001 ECE Non-Majors

  • Class Number:
  • Instructor: SIMPSON, JAMESINA J
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 27

Sections 003, 005, 006, 007 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. This class meets with ECE 2200-001 for the first half of the semester. Please fill out the Registration Permission Code request form found on the ECE Dept. website at http://www.ece.utah.edu/ if you cannot add the class because it is full. This is a split attendance class, where students will be assigned to attend one or more of the times listed in the schedule. Students will receive additional content through technology.

ECE 2210 - 002 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2210 - 002 ECE Non-Majors

  • Class Number: 9350
  • Instructor: BODSON, MARC
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 3

Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2210 - 003 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2210 - 003 ECE Non-Majors

  • Class Number: 10863
  • Instructor: SIMPSON, JAMESINA J
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 12

Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2210 - 004 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2210 - 004 ECE Non-Majors

  • Class Number: 2461
  • Instructor: BODSON, MARC
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 2

Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2210 - 005 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2210 - 005 ECE Non-Majors

  • Class Number: 8146
  • Instructor: SIMPSON, JAMESINA J
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 11

Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2210 - 006 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2210 - 006 ECE Non-Majors

  • Class Number: 13444
  • Instructor: SIMPSON, JAMESINA J
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 4

Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2210 - 007 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2210 - 007 ECE Non-Majors

  • Class Number: 12433
  • Instructor: SIMPSON, JAMESINA J
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 0

Registering for this lab section will automatically register you in the lecture component section- 001.

ECE 2210 - 008 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2210 - 008 ECE Non-Majors

  • Class Number: 2462
  • Instructor: BODSON, MARC
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 0

Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2210 - 009 ECE Non-Majors


Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2210 - 009 ECE Non-Majors

  • Class Number: 19852
  • Instructor: BODSON, MARC
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 11

Registering for this lab section will automatically register you in the lecture component section- 011.

ECE 2210 - 011 ECE Non-Majors


Sections 002, 004, 008, 009 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. This class meets with ECE 2200-001 for the first half of the semester. Please fill out the Registration Permission Code request form found on the ECE Dept. website at http://www.ece.utah.edu/ if you cannot add the class because it is full. This is a split attendance class, where students will be assigned to attend one or more of the times listed in the schedule. Students will receive additional content through technology.

ECE 2210 - 011 ECE Non-Majors

  • Class Number:
  • Instructor: BODSON, MARC
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 16

Sections 002, 004, 008, 009 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. This class meets with ECE 2200-001 for the first half of the semester. Please fill out the Registration Permission Code request form found on the ECE Dept. website at http://www.ece.utah.edu/ if you cannot add the class because it is full. This is a split attendance class, where students will be assigned to attend one or more of the times listed in the schedule. Students will receive additional content through technology.

ECE 2240 - 001 Circuits&Systems:Linear


This course requires registration for a lab section, ECE 2245. Students must register for both the lecture, ECE 2240, and the lab, ECE 2245, to meet co-requisites.

ECE 2240 - 001 Circuits&Systems:Linear

  • Class Number: 1213
  • Instructor: COTTER, NEIL E
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 56

This course requires registration for a lab section, ECE 2245. Students must register for both the lecture, ECE 2240, and the lab, ECE 2245, to meet co-requisites.

ECE 2245 - 001 Circuits&Sys Lab:Linear

ECE 2245 - 001 Circuits&Sys Lab:Linear

  • Class Number: 13085
  • Instructor: COTTER, NEIL E
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 14

ECE 2245 - 003 Circuits&Sys Lab:Linear

ECE 2245 - 003 Circuits&Sys Lab:Linear

  • Class Number: 13087
  • Instructor: COTTER, NEIL E
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 15

ECE 2245 - 004 Circuits&Sys Lab:Linear

ECE 2245 - 004 Circuits&Sys Lab:Linear

  • Class Number: 13088
  • Instructor: COTTER, NEIL E
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 16

ECE 2245 - 005 Circuits&Sys Lab:Linear

ECE 2245 - 005 Circuits&Sys Lab:Linear

  • Class Number: 13089
  • Instructor: COTTER, NEIL E
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 10

ECE 2245 - 006 Circuits&Sys Lab:Linear


This class meets August 12-16 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 2245 - 006 Circuits&Sys Lab:Linear

  • Class Number: 14940
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 8

This class meets August 12-16 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 2280 - 001 Circuits&Systems:Active


This course requires a corequisite with an ECE 2285 section which is the lab section for this course. Make sure to signup first for ECE 2285 before signing up for ECE 2280. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 2280 - 001 Circuits&Systems:Active

  • Class Number: 13107
  • Instructor: RASMUSSEN, ANGELA
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $42.35
  • Seats Available: 1

This course requires a corequisite with an ECE 2285 section which is the lab section for this course. Make sure to signup first for ECE 2285 before signing up for ECE 2280. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 2285 - 001 Circuits&Sys Lab:Active


This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280.

ECE 2285 - 001 Circuits&Sys Lab:Active

  • Class Number: 13083
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 5

This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280.

ECE 2285 - 002 Circuits&Sys Lab:Active


This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280.

ECE 2285 - 002 Circuits&Sys Lab:Active

  • Class Number: 13084
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 0

This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280.

ECE 2285 - 003 Circuits&Sys Lab:Active


This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280.

ECE 2285 - 003 Circuits&Sys Lab:Active

  • Class Number: 13104
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 2

This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280.

ECE 2285 - 004 Circuits&Sys Lab:Active


This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280

ECE 2285 - 004 Circuits&Sys Lab:Active

  • Class Number: 14236
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: -1

This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280

ECE 2285 - 006 Circuits&Sys Lab:Active


This class meets August 12-16 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 2285 - 006 Circuits&Sys Lab:Active

  • Class Number: 14941
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 1

This class meets August 12-16 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 3030 - 001 Comms & Wrtg for Engrs

ECE 3030 - 001 Comms & Wrtg for Engrs

  • Class Number: 8103
  • Instructor: LENART, JOSHUA
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

ECE 3030 - 002 Comms & Wrtg for Engrs

ECE 3030 - 002 Comms & Wrtg for Engrs

  • Class Number: 17285
  • Instructor: PASKETT, CECILE
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

ECE 3200 - 001 Intro Semicond Phys

ECE 3200 - 001 Intro Semicond Phys

  • Class Number: 13090
  • Instructor: FU, KAI
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 16

ECE 3300 - 002 Fund Electromagnetics


This course requires a corequisite with an ECE 3305 section which is the lab section for this course. Make sure to signup first for ECE 3305 before signing up for ECE 3300. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login This is a Hybrid course, which uses a mixture of online, face-to-face, and technology enhanced instruction. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3300 - 002 Fund Electromagnetics

  • Class Number: 13082
  • Instructor: GAO, WEILU
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $36.71
  • Seats Available: 0

This course requires a corequisite with an ECE 3305 section which is the lab section for this course. Make sure to signup first for ECE 3305 before signing up for ECE 3300. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login This is a Hybrid course, which uses a mixture of online, face-to-face, and technology enhanced instruction. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 001 Fund Electromag Lab


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 001 Fund Electromag Lab

  • Class Number: 12108
  • Instructor: GAO, WEILU
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $141.71
  • Seats Available: 9

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 002 Fund Electromag Lab


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 002 Fund Electromag Lab

  • Class Number: 14160
  • Instructor: GAO, WEILU
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $141.71
  • Seats Available: 3

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 004 Fund Electromag Lab


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 004 Fund Electromag Lab

  • Class Number: 12110
  • Instructor: GAO, WEILU
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $141.71
  • Seats Available: 0

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 005 Fund Electromag Lab


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 005 Fund Electromag Lab

  • Class Number: 12330
  • Instructor: GAO, WEILU
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $141.71
  • Seats Available: 7

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 006 Fund Electromag Lab


This class meets August 12-16 from 8am-5pm. Students are required to attend each class session until all lab work is complete. To determine the last day to drop this miscellaneous course, see htpp://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 3305 - 006 Fund Electromag Lab

  • Class Number: 16236
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $141.71
  • Seats Available: 4

This class meets August 12-16 from 8am-5pm. Students are required to attend each class session until all lab work is complete. To determine the last day to drop this miscellaneous course, see htpp://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 3500 - 001 Fund Signals/Systems


All videos of this course including lectures, homework, quizzes, labs, etc, will be available online

ECE 3500 - 001 Fund Signals/Systems

  • Class Number:
  • Instructor: COTTER, NEIL E
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $45.00
  • Seats Available: 16

All videos of this course including lectures, homework, quizzes, labs, etc, will be available online

ECE 3500 - 002 Fund Signals/Systems

ECE 3500 - 002 Fund Signals/Systems

  • Class Number: 1431
  • Instructor: COTTER, NEIL E
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

ECE 3500 - 003 Fund Signals/Systems

ECE 3500 - 003 Fund Signals/Systems

  • Class Number: 3901
  • Instructor: COTTER, NEIL E
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 10

ECE 3500 - 004 Fund Signals/Systems

ECE 3500 - 004 Fund Signals/Systems

  • Class Number: 4274
  • Instructor: COTTER, NEIL E
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 0

ECE 3500 - 005 Fund Signals/Systems

ECE 3500 - 005 Fund Signals/Systems

  • Class Number: 4301
  • Instructor: COTTER, NEIL E
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 12

ECE 3500 - 006 Fund Signals/Systems

ECE 3500 - 006 Fund Signals/Systems

  • Class Number: 6885
  • Instructor: COTTER, NEIL E
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 15

ECE 3530 - 001 Eng Prob Stats

ECE 3530 - 001 Eng Prob Stats

  • Class Number: 16922
  • Instructor: XIANG, YU
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 11

ECE 3530 - 003 Eng Prob Stats

ECE 3530 - 003 Eng Prob Stats

  • Class Number: 14386
  • Instructor: CHEN, RONG-RONG
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 0

ECE 3600 - 001 Intro to Elec Eng Power

ECE 3600 - 001 Intro to Elec Eng Power

  • Class Number:
  • Instructor: STOLP, ARN
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 24

ECE 3600 - 002 Intro to Elec Eng Power

ECE 3600 - 002 Intro to Elec Eng Power

  • Class Number: 5934
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 6

ECE 3700 - 001 Digital System Design


https://www.amazon.com/Fundamentals-Digital-Logic-Verilog-Design/dp/0073380547

ECE 3700 - 001 Digital System Design

  • Class Number:
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

https://www.amazon.com/Fundamentals-Digital-Logic-Verilog-Design/dp/0073380547

ECE 3700 - 002 Digital System Design

ECE 3700 - 002 Digital System Design

  • Class Number: 11824
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: -1

ECE 3700 - 004 Digital System Design

ECE 3700 - 004 Digital System Design

  • Class Number: 13249
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 7

ECE 3700 - 005 Digital System Design

ECE 3700 - 005 Digital System Design

  • Class Number: 13248
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 9

ECE 3710 - 001 Computer Design Lab


Laboratories scheduled first week of class.

ECE 3710 - 001 Computer Design Lab

  • Class Number: 3339
  • Instructor: BRUNVAND, ERIK
  • Component: Laboratory
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $60.00
  • Seats Available: 0

Laboratories scheduled first week of class.

ECE 3740 - 002 Intro To Quantum & Rel


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3740 - 002 Intro To Quantum & Rel

  • Class Number: 14404
  • Instructor: ZOLLINGER, RHETT
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $75.28
  • Seats Available: 3

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3810 - 002 Computer Organization

ECE 3810 - 002 Computer Organization

  • Class Number: 12237
  • Instructor: KOPTA, DANIEL
  • Component: Seminar
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $56.45
  • Seats Available: 12

ECE 3900 - 001 Junior Seminar

ECE 3900 - 001 Junior Seminar

  • Class Number: 14475
  • Instructor: DAVIES, JON
  • Component: Seminar
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 62

ECE 3960 - 002 Intro Semiconductors


The class introduces the principles of operation of both traditional sensors and the modern solid state micro sensors which are found in the majority of consumer, biomedical, automotive, aerospace, energy, and robotics products. The class joins practical examples and experimentation with a first introduction to the underlying principles of solid state device physics and electronic properties of materials. Helping to leverage the growth in the semiconductor business due to the Chips act, students will leave this class with sufficient practical knowledge to pursue advanced classes in semiconductor devices, micro and nanofabrication, and to apply real sensors to robotics, energy, transportation, consumer, and biomedical devices. To register for the lecture and lab, register for the lab in ECE 3960-003, and you will automatically also be registered for the lecture in ECE 3960-002

ECE 3960 - 002 Intro Semiconductors

  • Class Number:
  • Instructor: COHEN, RICHARD M
  • Component: Special Topics
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

The class introduces the principles of operation of both traditional sensors and the modern solid state micro sensors which are found in the majority of consumer, biomedical, automotive, aerospace, energy, and robotics products. The class joins practical examples and experimentation with a first introduction to the underlying principles of solid state device physics and electronic properties of materials. Helping to leverage the growth in the semiconductor business due to the Chips act, students will leave this class with sufficient practical knowledge to pursue advanced classes in semiconductor devices, micro and nanofabrication, and to apply real sensors to robotics, energy, transportation, consumer, and biomedical devices. To register for the lecture and lab, register for the lab in ECE 3960-003, and you will automatically also be registered for the lecture in ECE 3960-002

ECE 3960 - 003 Special Topics


This laboratory class presents exciting experiments that use the solid state micro sensors controlling today's most important products in the consumer, biomedical, automotive, aerospace, energy and robotics fields. These hands-on experiments will be linked to the underlying principles of solid state device physics and of electronic properties of materials. Students will learn practical applications using sensors and become prepared for advanced classes in semiconductor devices, advanced sensors, and micro and nanofabrication. The long term goal is to prepare students for future jobs in robotics, energy, transportation, and biomedical devices. By registering for the lab section in ECE 3960-003, students will also be automatically registered for the lecture in ECE 3960-002

ECE 3960 - 003 Special Topics

  • Class Number: 18947
  • Instructor: COHEN, RICHARD M
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $165.00
  • Seats Available: 12

This laboratory class presents exciting experiments that use the solid state micro sensors controlling today's most important products in the consumer, biomedical, automotive, aerospace, energy and robotics fields. These hands-on experiments will be linked to the underlying principles of solid state device physics and of electronic properties of materials. Students will learn practical applications using sensors and become prepared for advanced classes in semiconductor devices, advanced sensors, and micro and nanofabrication. The long term goal is to prepare students for future jobs in robotics, energy, transportation, and biomedical devices. By registering for the lab section in ECE 3960-003, students will also be automatically registered for the lecture in ECE 3960-002

ECE 3960 - 004 Special Topics


The class introduces the principles of operation of both traditional sensors and the modern solid state micro sensors which are found in the majority of consumer, biomedical, automotive, aerospace, energy, and robotics products. The class joins practical examples and experimentation with a first introduction to the underlying principles of solid state device physics and electronic properties of materials. Helping to leverage the growth in the semiconductor business due to the Chips act, students will leave this class with sufficient practical knowledge to pursue advanced classes in semiconductor devices, micro and nanofabrication, and to apply real sensors to robotics, energy, transportation, consumer, and biomedical devices. This lecture section is for students who are interested in the lecture component only. Students desiring to register for both the lecture and the lab should register for ECE 3960-003.

ECE 3960 - 004 Special Topics

  • Class Number: 19778
  • Instructor: COHEN, RICHARD M
  • Component: Special Topics
  • Type: In Person
  • Units: 2.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

The class introduces the principles of operation of both traditional sensors and the modern solid state micro sensors which are found in the majority of consumer, biomedical, automotive, aerospace, energy, and robotics products. The class joins practical examples and experimentation with a first introduction to the underlying principles of solid state device physics and electronic properties of materials. Helping to leverage the growth in the semiconductor business due to the Chips act, students will leave this class with sufficient practical knowledge to pursue advanced classes in semiconductor devices, micro and nanofabrication, and to apply real sensors to robotics, energy, transportation, consumer, and biomedical devices. This lecture section is for students who are interested in the lecture component only. Students desiring to register for both the lecture and the lab should register for ECE 3960-003.

ECE 3970 - 022 Undergraduate Research

ECE 3970 - 022 Undergraduate Research

  • Class Number: 13694
  • Instructor: RASMUSSEN, ANGELA
  • Component: Independent Study
  • Type: In Person
  • Units: 1.0 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

ECE 3980 - 090 Independent Project

ECE 3980 - 090 Independent Project

  • Class Number: 11237
  • Instructor: DAVIES, JON
  • Component: Special Topics
  • Type: Online
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 9

ECE 3990 - 090 Cooperative Educ


Students are expected to attend their internships as contracted with their employers. https://www.ece.utah.edu/co-op-internship

ECE 3990 - 090 Cooperative Educ

  • Class Number: 1440
  • Instructor: RASMUSSEN, ANGELA
  • Component: Practicum
  • Type: Online
  • Units: 1.0 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 17

Students are expected to attend their internships as contracted with their employers. https://www.ece.utah.edu/co-op-internship

ECE 3991 - 001 CE Junior Seminar

ECE 3991 - 001 CE Junior Seminar

  • Class Number: 4078
  • Component: Seminar
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 19

ECE 4710 - 001 Comptr Eng Sr Project

ECE 4710 - 001 Comptr Eng Sr Project

  • Class Number: 3675
  • Instructor: STEVENS, KENNETH S
  • Component: Special Projects
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 14

ECE 4900 - 002 Senior Thesis I


Students will be meeting in person during the lecture periods, and they will also be arranging weekly days/times/locations to meet with their assigned project groups and instructor. Students are expected to arrange a minimum of 12 hours/week to their project work. This time commitment will be set as a contract at the beginning of the semester.

ECE 4900 - 002 Senior Thesis I

  • Class Number: 17544
  • Instructor: JI, MINGYUE
  • Component: Special Projects
  • Type: Hybrid
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $90.00
  • Seats Available: 14

Students will be meeting in person during the lecture periods, and they will also be arranging weekly days/times/locations to meet with their assigned project groups and instructor. Students are expected to arrange a minimum of 12 hours/week to their project work. This time commitment will be set as a contract at the beginning of the semester.

ECE 4910 - 001 Senior Thesis II

ECE 4910 - 001 Senior Thesis II

  • Class Number: 12388
  • Instructor: DAVIES, JON
  • Component: Special Projects
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: Yes
  • Fees: $125.00
  • Seats Available: 2

ECE 4991 - 001 CE Senior Thesis I

ECE 4991 - 001 CE Senior Thesis I

  • Class Number: 4079
  • Instructor: STEVENS, KENNETH S
  • Component: Special Projects
  • Type: In Person
  • Units: 2.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 25

ECE 4992 - 001 CE Senior Thesis II

ECE 4992 - 001 CE Senior Thesis II

  • Class Number: 14294
  • Instructor: STEVENS, KENNETH S
  • Component: Special Projects
  • Type: In Person
  • Units: 2.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 10

ECE 4999 - 002 Senior Honors Thesis II

ECE 4999 - 002 Senior Honors Thesis II

  • Class Number: 19956
  • Instructor: DAVIES, JON
  • Component: Honors Thesis Project
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: Yes
  • Fees: $50.00
  • Seats Available: 3

ECE 5201 - 001 Phys of Nano-Elec Dev


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5201 - 001 Phys of Nano-Elec Dev

  • Class Number: 10284
  • Instructor: TABIB-AZAR, MASSOOD
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $32.94
  • Seats Available: 27

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5201 - 090 Phys of Nano-Elec Dev


This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5201 - 090 Phys of Nano-Elec Dev

  • Class Number: 9805
  • Instructor: TABIB-AZAR, MASSOOD
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $32.94
  • Seats Available: 15

This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5221 - 001 Micromachining


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login. The lab fees for this course are being covered by a generous donation from Texas Instruments.

ECE 5221 - 001 Micromachining

  • Class Number:
  • Instructor: WARREN, ROSEANNE
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $220.00
  • Seats Available: 3

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login. The lab fees for this course are being covered by a generous donation from Texas Instruments.

ECE 5221 - 002 Micromachining


The lab fees for this course are being covered by a generous donation from Texas Instruments.

ECE 5221 - 002 Micromachining

  • Class Number: 12600
  • Instructor: WARREN, ROSEANNE
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $220.00
  • Seats Available: 3

The lab fees for this course are being covered by a generous donation from Texas Instruments.

ECE 5255 - 001 eMicroscopy for SMD


The lab fees for this course are being covered by a generous donation from Texas Instruments.

ECE 5255 - 001 eMicroscopy for SMD

  • Class Number: 15697
  • Instructor: YOON, HEAYOUNG
  • Component: Lab/ Discussion
  • Type: In Person
  • Units: 3.0
  • Wait List: No
  • Fees: $150.00
  • Seats Available: 1

The lab fees for this course are being covered by a generous donation from Texas Instruments.

ECE 5320 - 001 Microwave Eng I


Sections 2 - 3 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5320 - 001 Microwave Eng I

  • Class Number:
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $109.71
  • Seats Available: 17

Sections 2 - 3 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5320 - 002 Microwave Eng I


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5320 - 002 Microwave Eng I

  • Class Number: 4489
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $109.71
  • Seats Available: 10

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5320 - 003 Microwave Eng I


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5320 - 003 Microwave Eng I

  • Class Number: 5195
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $109.71
  • Seats Available: 9

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5331 - 001 Optics for Energy


In this class, we will study the exciting intersection of optics and the engineering challenges associated with generation, distribution and utilization of energy through the lens of innovation and commercialization. Technically, we will cover the basics of non-imaging optics, which will allow us to apply these concepts to the design of optical sub-systems for applications including solar concentrators, solar thermal systems, solar cooling, desalination, daylighting, etc. We will also study the science and engineering of sunlight measurement, strategies of light management for solar cells, resource recycling, as well as learn about exciting new technologies brewing in labs around the world. The class is offered with maximum flexibility with in-person, IVC and fully-online options. A huge motivation to learn, and to apply your technical skills to address one of the seminal challenges of our time is expected. Pre-requisite: approval of instructor if you are outside of College of Engineering. The course counts towards Environmental & Sustainability Studies majors (undergraduates), and the Interdisciplinary graduate certificates in Sustainability (graduate students). Find details here.

ECE 5331 - 001 Optics for Energy

  • Class Number: 9833
  • Instructor: MENON, RAJESH
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Wait List: Yes
  • Seats Available: 12

In this class, we will study the exciting intersection of optics and the engineering challenges associated with generation, distribution and utilization of energy through the lens of innovation and commercialization. Technically, we will cover the basics of non-imaging optics, which will allow us to apply these concepts to the design of optical sub-systems for applications including solar concentrators, solar thermal systems, solar cooling, desalination, daylighting, etc. We will also study the science and engineering of sunlight measurement, strategies of light management for solar cells, resource recycling, as well as learn about exciting new technologies brewing in labs around the world. The class is offered with maximum flexibility with in-person, IVC and fully-online options. A huge motivation to learn, and to apply your technical skills to address one of the seminal challenges of our time is expected. Pre-requisite: approval of instructor if you are outside of College of Engineering. The course counts towards Environmental & Sustainability Studies majors (undergraduates), and the Interdisciplinary graduate certificates in Sustainability (graduate students). Find details here.

ECE 5331 - 002 Optics for Energy


This section is open to ECE, MSE and ME EN students who wish to take an IVC section

ECE 5331 - 002 Optics for Energy

  • Class Number: 13094
  • Instructor: MENON, RAJESH
  • Component: Lecture
  • Type: Remote Real-Time
  • Units: 3.0
  • Wait List: No
  • Seats Available: 14

This section is open to ECE, MSE and ME EN students who wish to take an IVC section

ECE 5331 - 090 Optics for Energy


This section is open to ECE, MSE and ME EN students who wish to take an online section

ECE 5331 - 090 Optics for Energy

  • Class Number: 13093
  • Instructor: MENON, RAJESH
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Wait List: No
  • Seats Available: 6

This section is open to ECE, MSE and ME EN students who wish to take an online section

ECE 5350 - 001 Comp EM w/ Comm Solvers

ECE 5350 - 001 Comp EM w/ Comm Solvers

  • Class Number: 7657
  • Instructor: SCHURIG, DAVID A
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 8

ECE 5360 - 001 Bioinstrumentation

ECE 5360 - 001 Bioinstrumentation

  • Class Number: 14249
  • Instructor: SANCHEZ TERRONES, BENJAMIN
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Wait List: No
  • Seats Available: 0

ECE 5410 - 001 Intro Optics


“The invention of lasers sets the arguably most important milestone in broad areas of photonics and optoelectronics. Their invention has far-reaching implications not only on the advancement of fundamental studies of light-matter interaction but also on the creation of a countless number of applications, spanning both well-develop areas including optical communications and sensing, medical imaging and diagnostics, data storage and retrieval, and emerging technologies such as virtual reality, optical artificial intelligence accelerators, and optical quantum computing. This is an introductory lecture/laboratory course in photonics and optoelectronics. The main emphasis of the course is to provide a knowledge base in photonics and optoelectronics to understand, design, and use optical systems for a variety of applications via the understanding of the generation, modulation, propagation, and detection of coherent light. Some knowledge in electromagnetics is assumed, but background specifically pertaining to photonics will be covered throughout. This course also provides the necessary background for other optics courses. A few hands-on simulation labs/projects will be included.” The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5410 - 001 Intro Optics

  • Class Number: 11160
  • Instructor: BLAIR, STEVE
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $103.53
  • Seats Available: 5

“The invention of lasers sets the arguably most important milestone in broad areas of photonics and optoelectronics. Their invention has far-reaching implications not only on the advancement of fundamental studies of light-matter interaction but also on the creation of a countless number of applications, spanning both well-develop areas including optical communications and sensing, medical imaging and diagnostics, data storage and retrieval, and emerging technologies such as virtual reality, optical artificial intelligence accelerators, and optical quantum computing. This is an introductory lecture/laboratory course in photonics and optoelectronics. The main emphasis of the course is to provide a knowledge base in photonics and optoelectronics to understand, design, and use optical systems for a variety of applications via the understanding of the generation, modulation, propagation, and detection of coherent light. Some knowledge in electromagnetics is assumed, but background specifically pertaining to photonics will be covered throughout. This course also provides the necessary background for other optics courses. A few hands-on simulation labs/projects will be included.” The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5510 - 001 Random Process

ECE 5510 - 001 Random Process

  • Class Number: 14881
  • Instructor: Zhou, Yi
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 21

ECE 5530 - 001 Digital Signal Process

ECE 5530 - 001 Digital Signal Process

  • Class Number: 15894
  • Instructor: NATEGH, NEDA
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 26

ECE 5530 - 090 Digital Signal Process

ECE 5530 - 090 Digital Signal Process

  • Class Number: 20214
  • Instructor: NATEGH, NEDA
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 29

ECE 5610 - 001 Power Electronics Fund

ECE 5610 - 001 Power Electronics Fund

  • Class Number:
  • Instructor: ARDAKANI, MOSTAFA
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $30.00
  • Seats Available: 17

ECE 5610 - 002 Power Electronics Fund

ECE 5610 - 002 Power Electronics Fund

  • Class Number: 20247
  • Instructor: ARDAKANI, MOSTAFA
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $30.00
  • Seats Available: 17

ECE 5615 - 001 Classical Control Sys

ECE 5615 - 001 Classical Control Sys

  • Class Number: 14347
  • Instructor: LEANG, KAM
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 9

ECE 5625 - 001 Power System Protection

ECE 5625 - 001 Power System Protection

  • Class Number: 18951
  • Instructor: PALMER, JOHN A
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $95.29
  • Seats Available: 4

ECE 5650 - 001 Robotics I: Mechanics

ECE 5650 - 001 Robotics I: Mechanics

  • Class Number: 14299
  • Instructor: HOLLERBACH, JOHN
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 19

ECE 5671 - 001 Electric Generators

ECE 5671 - 001 Electric Generators

  • Class Number: 12033
  • Instructor: BODSON, MARC
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 7

ECE 5671 - 090 Electric Generators


This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/

ECE 5671 - 090 Electric Generators

  • Class Number: 12034
  • Instructor: BODSON, MARC
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/

ECE 5710 - 001 Digital VLSI Design


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login This course has a self paced, non time specific, section in the CADE lab.

ECE 5710 - 001 Digital VLSI Design

  • Class Number: 14426
  • Instructor: GAILLARDON, PIERRE-EMMANUEL J
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: Yes
  • Fees: $62.94
  • Seats Available: 13

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login This course has a self paced, non time specific, section in the CADE lab.

ECE 5730 - 001 RF Int Circuit Design

ECE 5730 - 001 RF Int Circuit Design

  • Class Number: 19365
  • Instructor: YOUNG, DARRIN J
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 5785 - 001 Adv. Embedded Systems

ECE 5785 - 001 Adv. Embedded Systems

  • Class Number: 19846
  • Instructor: SNELGROVE, ASHTON
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 0

ECE 5960 - 001 TA Training

ECE 5960 - 001 TA Training

  • Class Number: 14993
  • Instructor: VERKLER, AMY
  • Component: Special Topics
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 21

ECE 5960 - 002 Convex Optimization


Convex Optimization This course will introduce fundamental theory, main stream contemporary methods and algorithms of convex constrained optimization. This is a course designed for engineering students – it is primarily concerned with constrained numerical optimization techniques as applied to various engineering problems. Through assignments and course project, students will get hands-on experience of using MATLAB + cvx to realize existing algorithms and design new programming approaches. Topics Covered in This Course include 1. Standard forms of unconstrained optimization problems 2. Steepest-descent methods 3. Newton methods 4. Standard forms of constrained optimization problems 5. Lagrange multipliers 6. Karush-Kuhn-Tucker (KKT) conditions 7. Convexity and duality 8. Linear programming 9. Quadratic programming 10. Semidefinite programming 11. Second-order cone programming 12. Optimization of non-differentiable problems 13. L1-L2 minimization 14. Alternating direction method of multipliers (ADMM)

ECE 5960 - 002 Convex Optimization

  • Class Number: 15699
  • Instructor: Liu, Mingxi
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 7

Convex Optimization This course will introduce fundamental theory, main stream contemporary methods and algorithms of convex constrained optimization. This is a course designed for engineering students – it is primarily concerned with constrained numerical optimization techniques as applied to various engineering problems. Through assignments and course project, students will get hands-on experience of using MATLAB + cvx to realize existing algorithms and design new programming approaches. Topics Covered in This Course include 1. Standard forms of unconstrained optimization problems 2. Steepest-descent methods 3. Newton methods 4. Standard forms of constrained optimization problems 5. Lagrange multipliers 6. Karush-Kuhn-Tucker (KKT) conditions 7. Convexity and duality 8. Linear programming 9. Quadratic programming 10. Semidefinite programming 11. Second-order cone programming 12. Optimization of non-differentiable problems 13. L1-L2 minimization 14. Alternating direction method of multipliers (ADMM)

ECE 5960 - 003 TA Training

ECE 5960 - 003 TA Training

  • Class Number: 20240
  • Instructor: VERKLER, AMY
  • Component: Special Topics
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 12

ECE 5960 - 006 Pwr & Energy Sys: Econ & Oper


Power and Energy Systems: Economics and Operation This course will also be Zoom-enabled, for students who need to occasionally join the class by Zoom.

ECE 5960 - 006 Pwr & Energy Sys: Econ & Oper

  • Class Number: 15956
  • Instructor: PARVANIA, MASOOD
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

Power and Energy Systems: Economics and Operation This course will also be Zoom-enabled, for students who need to occasionally join the class by Zoom.

ECE 5960 - 007 Pwr & Energy Sys: Econ & Oper


Power and Energy Systems: Economics and Operation

ECE 5960 - 007 Pwr & Energy Sys: Econ & Oper

  • Class Number: 19796
  • Instructor: PARVANIA, MASOOD
  • Component: Special Topics
  • Type: Remote Real-Time
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

Power and Energy Systems: Economics and Operation

ECE 5960 - 011 Mathematical Tools Neural Data


Mathematical tools for neural data analysis and modeling. The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology. This class is designed as a 4 credit hour course. To enroll in 3 credit hours contact instructor for consent.

ECE 5960 - 011 Mathematical Tools Neural Data

  • Class Number: 11998
  • Instructor: NATEGH, NEDA
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0 - 4.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 20

Mathematical tools for neural data analysis and modeling. The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology. This class is designed as a 4 credit hour course. To enroll in 3 credit hours contact instructor for consent.

ECE 5960 - 023 Solid State Memory


Solid State Memory: This is the Undergraduate section of ECE 6273.

ECE 5960 - 023 Solid State Memory

  • Class Number: 17109
  • Instructor: MASTRANGELO, CARLOS H
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 7

Solid State Memory: This is the Undergraduate section of ECE 6273.

ECE 5960 - 090 Mathematical Tools Neural Data


Mathematical tools for neural data analysis and modeling The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology.

ECE 5960 - 090 Mathematical Tools Neural Data

  • Class Number: 12287
  • Instructor: NATEGH, NEDA
  • Component: Special Topics
  • Type: Online
  • Units: 3.0 - 4.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 19

Mathematical tools for neural data analysis and modeling The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology.

ECE 6221 - 001 Micromachining


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6221 - 001 Micromachining

  • Class Number:
  • Instructor: WARREN, ROSEANNE
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6221 - 002 Micromachining

ECE 6221 - 002 Micromachining

  • Class Number: 12602
  • Instructor: WARREN, ROSEANNE
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

ECE 6255 - 001 eMicroscopy for SMD


The lab fees for this course are being covered by a generous donation from Texas Instruments.

ECE 6255 - 001 eMicroscopy for SMD

  • Class Number: 15698
  • Instructor: YOON, HEAYOUNG
  • Component: Lab/ Discussion
  • Type: In Person
  • Units: 3.0
  • Wait List: Yes
  • Seats Available: 2

The lab fees for this course are being covered by a generous donation from Texas Instruments.

ECE 6261 - 002 Phys Theory Semicon Dev


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6261 - 002 Phys Theory Semicon Dev

  • Class Number: 13427
  • Instructor: TABIB-AZAR, MASSOOD
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $32.94
  • Seats Available: 6

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6273 - 001 Solid State Memory

ECE 6273 - 001 Solid State Memory

  • Class Number: 16518
  • Instructor: MASTRANGELO, CARLOS H
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 8

ECE 6322 - 001 Microwave Eng I


Sections 2 - 3 belong to this course. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6322 - 001 Microwave Eng I

  • Class Number:
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $109.71
  • Seats Available: 10

Sections 2 - 3 belong to this course. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6322 - 002 Microwave Eng I


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6322 - 002 Microwave Eng I

  • Class Number: 5134
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $109.71
  • Seats Available: 4

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6322 - 003 Microwave Eng I


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6322 - 003 Microwave Eng I

  • Class Number: 5454
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $109.71
  • Seats Available: 4

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6331 - 001 Optics for Energy


In this class, we will study the exciting intersection of optics and the engineering challenges associated with generation, distribution and utilization of energy through the lens of innovation and commercialization. Technically, we will cover the basics of non-imaging optics, which will allow us to apply these concepts to the design of optical sub-systems for applications including solar concentrators, solar thermal systems, solar cooling, desalination, daylighting, etc. We will also study the science and engineering of sunlight measurement, strategies of light management for solar cells, resource recycling, as well as learn about exciting new technologies brewing in labs around the world. The class is offered with maximum flexibility with in-person, IVC and fully-online options. A huge motivation to learn, and to apply your technical skills to address one of the seminal challenges of our time is expected. Pre-requisite: approval of instructor if you are outside of College of Engineering. The course counts towards Environmental & Sustainability Studies majors (undergraduates), and the Interdisciplinary graduate certificates in Sustainability (graduate students). Find details here.

ECE 6331 - 001 Optics for Energy

  • Class Number: 9834
  • Instructor: MENON, RAJESH
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 8

In this class, we will study the exciting intersection of optics and the engineering challenges associated with generation, distribution and utilization of energy through the lens of innovation and commercialization. Technically, we will cover the basics of non-imaging optics, which will allow us to apply these concepts to the design of optical sub-systems for applications including solar concentrators, solar thermal systems, solar cooling, desalination, daylighting, etc. We will also study the science and engineering of sunlight measurement, strategies of light management for solar cells, resource recycling, as well as learn about exciting new technologies brewing in labs around the world. The class is offered with maximum flexibility with in-person, IVC and fully-online options. A huge motivation to learn, and to apply your technical skills to address one of the seminal challenges of our time is expected. Pre-requisite: approval of instructor if you are outside of College of Engineering. The course counts towards Environmental & Sustainability Studies majors (undergraduates), and the Interdisciplinary graduate certificates in Sustainability (graduate students). Find details here.

ECE 6331 - 002 Optics for Energy


This section is open to ECE, MSE and ME EN students who wish to take an IVC section

ECE 6331 - 002 Optics for Energy

  • Class Number: 13095
  • Instructor: MENON, RAJESH
  • Component: Lecture
  • Type: Remote Real-Time
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

This section is open to ECE, MSE and ME EN students who wish to take an IVC section

ECE 6331 - 090 Optics for Energy


This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/. This section is open to ECE, MSE and ME EN students who wish to take an online section

ECE 6331 - 090 Optics for Energy

  • Class Number: 9835
  • Instructor: MENON, RAJESH
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 16

This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/. This section is open to ECE, MSE and ME EN students who wish to take an online section

ECE 6350 - 001 Comp EM w/ Comm Solvers

ECE 6350 - 001 Comp EM w/ Comm Solvers

  • Class Number: 7658
  • Instructor: SCHURIG, DAVID A
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 17

ECE 6360 - 001 Bioinstrumentation

ECE 6360 - 001 Bioinstrumentation

  • Class Number: 14251
  • Instructor: SANCHEZ TERRONES, BENJAMIN
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Wait List: No
  • Seats Available: 11

ECE 6410 - 001 Intro to Optics

ECE 6410 - 001 Intro to Optics

  • Class Number: 19874
  • Instructor: BLAIR, STEVE
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Wait List: No
  • Seats Available: 7

ECE 6530 - 001 Digital Signal Process

ECE 6530 - 001 Digital Signal Process

  • Class Number: 15892
  • Instructor: NATEGH, NEDA
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 17

ECE 6530 - 090 Digital Signal Process

ECE 6530 - 090 Digital Signal Process

  • Class Number: 15895
  • Instructor: NATEGH, NEDA
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 12

ECE 6532 - 001 Digital Image Proc


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6532 - 001 Digital Image Proc

  • Class Number: 8330
  • Instructor: TASDIZEN, TOLGA
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $42.06
  • Seats Available: 1

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6550 - 001 Adaptive Filters

ECE 6550 - 001 Adaptive Filters

  • Class Number: 14405
  • Instructor: FARHANG, BEHROUZ
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 20

ECE 6615 - 001 Classical Control Sys

ECE 6615 - 001 Classical Control Sys

  • Class Number: 19905
  • Instructor: LEANG, KAM
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 12

ECE 6625 - 001 Power System Protection

ECE 6625 - 001 Power System Protection

  • Class Number: 18952
  • Instructor: PALMER, JOHN A
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $95.29
  • Seats Available: 4

ECE 6650 - 001 Robotics I: Mechanics

ECE 6650 - 001 Robotics I: Mechanics

  • Class Number: 14383
  • Instructor: HOLLERBACH, JOHN
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 11

ECE 6654 - 001 Neuro Eng & Neuro Robot


This course is intended for advanced undergraduates and graduate students. Students should have a background in basic biology, basic circuits, and programming in MATLAB.

ECE 6654 - 001 Neuro Eng & Neuro Robot

  • Class Number:
  • Instructor: GEORGE, JAKE
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: Yes
  • Fees: $162.00
  • Seats Available: 10

This course is intended for advanced undergraduates and graduate students. Students should have a background in basic biology, basic circuits, and programming in MATLAB.

ECE 6654 - 002 Neuro Eng & Neuro Robot

ECE 6654 - 002 Neuro Eng & Neuro Robot

  • Class Number: 19687
  • Instructor: GEORGE, JAKE
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $162.00
  • Seats Available: 10

ECE 6671 - 001 Electric Generators

ECE 6671 - 001 Electric Generators

  • Class Number: 12035
  • Instructor: BODSON, MARC
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 8

ECE 6671 - 090 Electric Generators


This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/

ECE 6671 - 090 Electric Generators

  • Class Number: 12032
  • Instructor: BODSON, MARC
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 14

This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/

ECE 6710 - 001 Digital VLSI Design


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6710 - 001 Digital VLSI Design

  • Class Number: 14427
  • Instructor: GAILLARDON, PIERRE-EMMANUEL J
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: Yes
  • Fees: $62.94
  • Seats Available: 29

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6730 - 001 RF Int Circuit Design

ECE 6730 - 001 RF Int Circuit Design

  • Class Number: 18949
  • Instructor: YOUNG, DARRIN J
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

ECE 6785 - 001 Adv. Embedded Systems

ECE 6785 - 001 Adv. Embedded Systems

  • Class Number: 19847
  • Instructor: SNELGROVE, ASHTON
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 14

ECE 6810 - 001 Computer Architecture

ECE 6810 - 001 Computer Architecture

  • Class Number: 10285
  • Instructor: NAGARAJAN, VIJAYANAND
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 15

ECE 6868 - 001 Robotics Grad Seminar

ECE 6868 - 001 Robotics Grad Seminar

  • Class Number: 15844
  • Component: Seminar
  • Type: In Person
  • Units: 1.0
  • Wait List: No
  • Seats Available: 12

ECE 6900 - 002 Graduate Sem

ECE 6900 - 002 Graduate Sem

  • Class Number: 14782
  • Instructor: BLAIR, STEVE
  • Component: Seminar
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 22

ECE 6950 - 001 Special Study (MS Project)


All graduate students requesting to enroll in ECE 6950 Project credits should read over and follow the steps on the ECE Master's Project page https://www.ece.utah.edu/graduate-programs-in-ece/ms-degree/project/ and then contact liz.rowberry@utah.edu to be enrolled in course credits.

ECE 6950 - 001 Special Study (MS Project)

  • Class Number: 4540
  • Component: Special Projects
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

All graduate students requesting to enroll in ECE 6950 Project credits should read over and follow the steps on the ECE Master's Project page https://www.ece.utah.edu/graduate-programs-in-ece/ms-degree/project/ and then contact liz.rowberry@utah.edu to be enrolled in course credits.

ECE 6960 - 001 TA Training

ECE 6960 - 001 TA Training

  • Class Number: 14994
  • Instructor: VERKLER, AMY
  • Component: Special Topics
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 10

ECE 6960 - 002 Convex Optimization


Convex Optimization This course will introduce fundamental theory, main stream contemporary methods and algorithms of convex constrained optimization. This is a course designed for engineering students – it is primarily concerned with constrained numerical optimization techniques as applied to various engineering problems. Through assignments and course project, students will get hands-on experience of using MATLAB + cvx to realize existing algorithms and design new programming approaches. Topics Covered in This Course include 1. Standard forms of unconstrained optimization problems 2. Steepest-descent methods 3. Newton methods 4. Standard forms of constrained optimization problems 5. Lagrange multipliers 6. Karush-Kuhn-Tucker (KKT) conditions 7. Convexity and duality 8. Linear programming 9. Quadratic programming 10. Semidefinite programming 11. Second-order cone programming 12. Optimization of non-differentiable problems 13. L1-L2 minimization 14. Alternating direction method of multipliers (ADMM)

ECE 6960 - 002 Convex Optimization

  • Class Number: 15700
  • Instructor: Liu, Mingxi
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 6

Convex Optimization This course will introduce fundamental theory, main stream contemporary methods and algorithms of convex constrained optimization. This is a course designed for engineering students – it is primarily concerned with constrained numerical optimization techniques as applied to various engineering problems. Through assignments and course project, students will get hands-on experience of using MATLAB + cvx to realize existing algorithms and design new programming approaches. Topics Covered in This Course include 1. Standard forms of unconstrained optimization problems 2. Steepest-descent methods 3. Newton methods 4. Standard forms of constrained optimization problems 5. Lagrange multipliers 6. Karush-Kuhn-Tucker (KKT) conditions 7. Convexity and duality 8. Linear programming 9. Quadratic programming 10. Semidefinite programming 11. Second-order cone programming 12. Optimization of non-differentiable problems 13. L1-L2 minimization 14. Alternating direction method of multipliers (ADMM)

ECE 6960 - 006 Pwr & Energy Sys: Econ & Oper


Power and Energy Systems: Economics and Operation. This course will also be Zoom-enabled, for students who need to occasionally join the class by Zoom.

ECE 6960 - 006 Pwr & Energy Sys: Econ & Oper

  • Class Number: 15957
  • Instructor: PARVANIA, MASOOD
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

Power and Energy Systems: Economics and Operation. This course will also be Zoom-enabled, for students who need to occasionally join the class by Zoom.

ECE 6960 - 007 Pwr & Energy Sys: Econ & Oper


Power and Energy Systems: Economics and Operation

ECE 6960 - 007 Pwr & Energy Sys: Econ & Oper

  • Class Number: 19808
  • Instructor: PARVANIA, MASOOD
  • Component: Special Topics
  • Type: Remote Real-Time
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

Power and Energy Systems: Economics and Operation

ECE 6960 - 008 Image Analysis Seminar

ECE 6960 - 008 Image Analysis Seminar

  • Class Number: 14825
  • Instructor: Elhabian, Shireen
  • Component: Special Topics
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 24

ECE 6960 - 020 Special Topics


mathematical tools for neural data analysis and modeling The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology. This class is designed as a 4 credit hour course. To enroll in 3 credit hours contact instructor for consent.

ECE 6960 - 020 Special Topics

  • Class Number: 12000
  • Instructor: NATEGH, NEDA
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0 - 4.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 17

mathematical tools for neural data analysis and modeling The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology. This class is designed as a 4 credit hour course. To enroll in 3 credit hours contact instructor for consent.

ECE 6960 - 021 Neural Computation Seminar


Neural Computation Seminar. This class meets in SMBB 2360. The class is also offered in an IVC format for remote accessibility This is the Seminar section for ECE 5960 and ECE 6960 lecture sections. If you have not taken any of those before, you will also need to sign up for a lecture section of either ECE 5960 or ECE 6960 this semester to meet the co-requisites or you need to obtain the consent of the instructor. This is a seminar component, set as a co-requisite for the lecture classes (ECE 5960-011, 5960-090, 6960-020, 6960-090, BME 5900-004, BME 6900-004)

ECE 6960 - 021 Neural Computation Seminar

  • Class Number: 19335
  • Instructor: NATEGH, NEDA
  • Component: Special Topics
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

Neural Computation Seminar. This class meets in SMBB 2360. The class is also offered in an IVC format for remote accessibility This is the Seminar section for ECE 5960 and ECE 6960 lecture sections. If you have not taken any of those before, you will also need to sign up for a lecture section of either ECE 5960 or ECE 6960 this semester to meet the co-requisites or you need to obtain the consent of the instructor. This is a seminar component, set as a co-requisite for the lecture classes (ECE 5960-011, 5960-090, 6960-020, 6960-090, BME 5900-004, BME 6900-004)

ECE 6960 - 090 Mathematical Tools Neural Data


Mathematical tools for neural data analysis and modeling The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology. This class is designed as a 4 credit hour course. To enroll in 3 credit hours contact instructor for consent.

ECE 6960 - 090 Mathematical Tools Neural Data

  • Class Number: 12288
  • Instructor: NATEGH, NEDA
  • Component: Special Topics
  • Type: Online
  • Units: 3.0 - 4.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 19

Mathematical tools for neural data analysis and modeling The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology. This class is designed as a 4 credit hour course. To enroll in 3 credit hours contact instructor for consent.

ECE 6960 - 091 Professional Development


Career, Research, and Network Development for Graduate Students The purpose of this course is for graduate students to explore a variety of career options (industry, academia, national labs, policy), and the skills that can lead to strong career success and technical leadership. The course covers Career Development, Research Development, and Network/Mentoring Development and is variable credit, allowing students to select assignments from each area to best fit their interests and needs. Career Development includes creation of an Individual Development Plan (IDP), team and leadership skills, preparation for career fairs, interviews with stakeholders to explore career options, and more. Research Development is based on the Lean Canvas approach which encourages research students to explore their research area not only in the traditional way (professional literature) but also business and patent literature, and direct interviews/visits with professionals working in their field who may later be users of their research output. Network and Mentoring Development helps students develop a formal mentoring plan, find people to help guide their individual areas of growth, and learn skills to effectively engage with mentors and their professional network throughout their careers.

ECE 6960 - 091 Professional Development

  • Class Number: 17551
  • Instructor: FURSE, CYNTHIA
  • Component: Special Topics
  • Type: Online
  • Units: 0.5 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 45

Career, Research, and Network Development for Graduate Students The purpose of this course is for graduate students to explore a variety of career options (industry, academia, national labs, policy), and the skills that can lead to strong career success and technical leadership. The course covers Career Development, Research Development, and Network/Mentoring Development and is variable credit, allowing students to select assignments from each area to best fit their interests and needs. Career Development includes creation of an Individual Development Plan (IDP), team and leadership skills, preparation for career fairs, interviews with stakeholders to explore career options, and more. Research Development is based on the Lean Canvas approach which encourages research students to explore their research area not only in the traditional way (professional literature) but also business and patent literature, and direct interviews/visits with professionals working in their field who may later be users of their research output. Network and Mentoring Development helps students develop a formal mentoring plan, find people to help guide their individual areas of growth, and learn skills to effectively engage with mentors and their professional network throughout their careers.

ECE 6961 - 002 Medical Imaging Sys

ECE 6961 - 002 Medical Imaging Sys

  • Class Number: 9100
  • Instructor: HSU, EDWARD W
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

ECE 7320 - 001 3 D Reconstruction Tech

ECE 7320 - 001 3 D Reconstruction Tech

  • Class Number: 14714
  • Instructor: NOO, FREDERIC
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 10

ECE 7900 - 002 Graduate Seminar III

ECE 7900 - 002 Graduate Seminar III

  • Class Number: 14783
  • Instructor: BLAIR, STEVE
  • Component: Seminar
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 30

ECE 7951 - 001 Teaching Engineering


This is a 2 credit hour class.

ECE 7951 - 001 Teaching Engineering

  • Class Number: 14204
  • Instructor: VERKLER, AMY
  • Component: Discussion
  • Type: In Person
  • Units: 2.0
  • Wait List: No
  • Seats Available: 6

This is a 2 credit hour class.

ECE 7951 - 002 Teaching Engineering

ECE 7951 - 002 Teaching Engineering

  • Class Number: 14203
  • Instructor: VERKLER, AMY
  • Component: Discussion
  • Type: In Person
  • Units: 2.0
  • Wait List: No
  • Seats Available: 9

ECE 7952 - 001 Education Project

ECE 7952 - 001 Education Project

  • Class Number: 17693
  • Instructor: VERKLER, AMY
  • Component: Independent Study
  • Type: In Person
  • Units: 2.0
  • Wait List: No
  • Seats Available: 4

ECE 7970 - 001 Thesis Research-Ph D

ECE 7970 - 001 Thesis Research-Ph D

  • Class Number: 1445
  • Instructor: MENON, RAJESH
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 003 Thesis Research-Ph D

ECE 7970 - 003 Thesis Research-Ph D

  • Class Number: 3139
  • Instructor: FURSE, CYNTHIA
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 10

ECE 7970 - 005 Thesis Research-Ph D

ECE 7970 - 005 Thesis Research-Ph D

  • Class Number: 3220
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 008 Thesis Research-Ph D

ECE 7970 - 008 Thesis Research-Ph D

  • Class Number: 3225
  • Instructor: Roundy, Shad
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 10

ECE 7970 - 009 Thesis Research-Ph D

ECE 7970 - 009 Thesis Research-Ph D

  • Class Number: 3232
  • Instructor: BLAIR, STEVE
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 010 Thesis Research-Ph D

ECE 7970 - 010 Thesis Research-Ph D

  • Class Number: 3490
  • Instructor: STEVENS, KENNETH S
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 012 Thesis Research-Ph D

ECE 7970 - 012 Thesis Research-Ph D

  • Class Number: 3916
  • Instructor: FARHANG, BEHROUZ
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 10

ECE 7970 - 013 Thesis Research-Ph D

ECE 7970 - 013 Thesis Research-Ph D

  • Class Number: 4343
  • Instructor: BODSON, MARC
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 12

ECE 7970 - 014 Thesis Research-Ph D

ECE 7970 - 014 Thesis Research-Ph D

  • Class Number: 4370
  • Instructor: GALE, BRUCE
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 12

ECE 7970 - 016 Thesis Research-Ph D

ECE 7970 - 016 Thesis Research-Ph D

  • Class Number: 4585
  • Instructor: CHEN, RONG-RONG
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

ECE 7970 - 018 Thesis Research-Ph D

ECE 7970 - 018 Thesis Research-Ph D

  • Class Number: 4620
  • Instructor: SOLZBACHER, FLORIAN
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 019 Thesis Research-Ph D

ECE 7970 - 019 Thesis Research-Ph D

  • Class Number: 4830
  • Instructor: KALLA, PRIYANK
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 10

ECE 7970 - 021 Thesis Research-Ph D

ECE 7970 - 021 Thesis Research-Ph D

  • Class Number: 5330
  • Instructor: SCHURIG, DAVID A
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 022 Thesis Research-Ph D

ECE 7970 - 022 Thesis Research-Ph D

  • Class Number: 5889
  • Instructor: SCARPULLA, MIKE A
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 023 Thesis Research-Ph D

ECE 7970 - 023 Thesis Research-Ph D

  • Class Number: 5890
  • Instructor: MASTRANGELO, CARLOS H
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 024 Thesis Research-Ph D

ECE 7970 - 024 Thesis Research-Ph D

  • Class Number: 5891
  • Instructor: TASDIZEN, TOLGA
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 027 Thesis Research-Ph D

ECE 7970 - 027 Thesis Research-Ph D

  • Class Number: 6101
  • Instructor: YOUNG, DARRIN J
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 029 Thesis Research-Ph D

ECE 7970 - 029 Thesis Research-Ph D

  • Class Number: 6403
  • Instructor: TABIB-AZAR, MASSOOD
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 030 Thesis Research-Ph D

ECE 7970 - 030 Thesis Research-Ph D

  • Class Number: 6405
  • Instructor: KIM, HANSEUP
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 033 Thesis Research-Ph D

ECE 7970 - 033 Thesis Research-Ph D

  • Class Number: 7338
  • Instructor: SIMPSON, JAMESINA J
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 039 Thesis Research-Ph D

ECE 7970 - 039 Thesis Research-Ph D

  • Class Number: 8770
  • Instructor: PARVANIA, MASOOD
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 041 Thesis Research-Ph D

ECE 7970 - 041 Thesis Research-Ph D

  • Class Number: 9207
  • Instructor: GAILLARDON, PIERRE-EMMANUEL J
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 043 Thesis Research-Ph D

ECE 7970 - 043 Thesis Research-Ph D

  • Class Number: 9209
  • Instructor: YOON, HEAYOUNG
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 045 Thesis Research-Ph D

ECE 7970 - 045 Thesis Research-Ph D

  • Class Number: 9318
  • Instructor: JI, MINGYUE
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 046 Thesis Research-Ph D

ECE 7970 - 046 Thesis Research-Ph D

  • Class Number: 9319
  • Instructor: ARDAKANI, MOSTAFA
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 058 Thesis Research-Ph D

ECE 7970 - 058 Thesis Research-Ph D

  • Class Number: 9967
  • Instructor: NATEGH, NEDA
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

ECE 7970 - 060 Thesis Research-Ph D

ECE 7970 - 060 Thesis Research-Ph D

  • Class Number: 10890
  • Instructor: TAJALLI, ARMIN
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 10

ECE 7970 - 063 Thesis Research-Ph D

ECE 7970 - 063 Thesis Research-Ph D

  • Class Number: 11589
  • Instructor: Liu, Mingxi
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 064 Thesis Research-Ph D


Professor Yi Zhou

ECE 7970 - 064 Thesis Research-Ph D

  • Class Number: 11598
  • Instructor: Zhou, Yi
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

Professor Yi Zhou

ECE 7970 - 065 Thesis Research-Ph D

ECE 7970 - 065 Thesis Research-Ph D

  • Class Number: 11592
  • Instructor: XIANG, YU
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 068 Thesis Research-Ph D

ECE 7970 - 068 Thesis Research-Ph D

  • Class Number: 11636
  • Instructor: SANT, HIMANSHU
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 070 Thesis Research-Ph D

ECE 7970 - 070 Thesis Research-Ph D

  • Class Number: 12431
  • Instructor: GAO, WEILU
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 10

ECE 7970 - 071 Thesis Research-Ph D

ECE 7970 - 071 Thesis Research-Ph D

  • Class Number: 13158
  • Instructor: SANCHEZ TERRONES, BENJAMIN
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 072 Thesis Research-Ph D

ECE 7970 - 072 Thesis Research-Ph D

  • Class Number: 13159
  • Instructor: GEORGE, JAKE
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 073 Thesis Research-Ph D

ECE 7970 - 073 Thesis Research-Ph D

  • Class Number: 13580
  • Instructor: DREW, DANIEL S
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 074 Thesis Research-Ph D

ECE 7970 - 074 Thesis Research-Ph D

  • Class Number: 16754
  • Instructor: FU, KAI
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 079 Thesis Research-Ph D

ECE 7970 - 079 Thesis Research-Ph D

  • Class Number: 19996
  • Instructor: XIANG, YU
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1